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About Using Chi Square in Genetics
This document provides guidance on using chi-square analysis to analyze genetic data. It reminds the reader that chi-square analysis compares expected values from the null hypothesis to observed values. Raw data counts, not percentages, should be used. The chi-square value and degrees of freedom are calculated and used to determine a p-value from tables. Based on the p-value compared to 0.05, the conclusion is whether to reject or fail to reject the null hypothesis. Any conclusion must be justified and related back to inheritance patterns of the genes studied. Examples are provided of monohybrid, dihybrid and test crosses and the conclusions that can be drawn from ratios supported or not supported by chi-square analysis.
Detailed Information
| Author: | ['Kumar Yashasvi'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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